Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers

Preprint, Article English OPEN

Zubiaga, Arkaitz; Kochkina, Elena; Liakata, Maria; Procter, Rob; Lukasik, Michal; Bontcheva, Kalina; Cohn, Trevor; Augenstein, Isabelle;

(2017)

Publisher: Elsevier

Related identifiers: doi: 10.1016/j.ipm.2017.11.009
Subject: Computer Science - Computation and Language | Computer Science - Social and Information Networks | HM | QA76

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using in... View more

References (56)
56 references, page 1 of 6
1
2
3
4
5
[1] A. Hermida, F. Fletcher, D. Korell, D. Logan, Share, like, recommend: Decoding the social media news consumer, Journalism Studies 13 (5-6) (2012) 815-824.
[2] A. Mitchell, J. Gottfried, K. Matsa, Millennials and political news: Social media - the local tv for the next generation?, Tech. rep., Pew Research Center (2015).
[3] A. Zubiaga, D. Spina, R. Martinez, V. Fresno, Real-time classification of twitter trends, Journal of the Association for Information Science and Technology 66 (3) (2015) 462-473.
[4] A. Zubiaga, H. Ji, K. Knight, Curating and contextualizing twitter stories to assist with social newsgathering, in: Proceedings of the 2013 international conference on Intelligent User Interfaces, IUI, ACM, 2013, pp. 213-224.
[5] N. Diakopoulos, M. De Choudhury, M. Naaman, Finding and assessing social media information sources in the context of journalism, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI, ACM, 2012, pp. 2451-2460.
[6] P. Tolmie, R. Procter, M. Rouncefield, M. Liakata, A. Zubiaga, Microblog analysis as a programme of work, ACM Transactions on Social Computing (To Appear).
[7] H. Kwak, C. Lee, H. Park, S. Moon, What is twitter, a social network or a news media?, in: Proceedings of the 19th International Conference on World Wide Web, WWW, ACM, 2010, pp. 591-600.
[8] X. Dong, D. Mavroeidis, F. Calabrese, P. Frossard, Multiscale event detection in social media, Data Mining and Knowledge Discovery 29 (5) (2015) 1374-1405.
[9] G. Stilo, P. Velardi, E cient temporal mining of micro-blog texts and its application to event discovery, Data Mining and Knowledge Discovery 30 (2) (2016) 372-402.
[10] M. Mendoza, B. Poblete, C. Castillo, Twitter under crisis: can we trust what we rt?, in: Proceedings of the first workshop on social media analytics, ACM, 2010, pp. 71-79.

Related Research Results (2)

Inferred by OpenAIRE

software Lasagne: First Release. (2015)	73%
software word2vec-GoogleNews-vectors software on GitHub in support of 'Enhancing Translation Language Models with Word Embedding for Information Retrieval'	72%

Related Organizations (11)

11 organizations, page 1 of 2

University of Melbourne ( University of Melbourne ) Australia Website url: http://www.unimelb.edu.au/	90%
University of Copenhagen	90%
University of Warwick (WMG)	90%
University of Melbourne	90%
University of Copenhagen ( UCPH ) Denmark Website url: http://www.ku.dk/english/	90%
University of Warwick ( University of Warwick ) United Kingdom Website url: http://www2.warwick.ac.uk/	90%
UNIVERSITY OF MELBOURNE	90%
UNIVERSITY OF WARWICK	90%
University Of Melbourne	90%
University Of Warwick	90%

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